Yosuke Hagiwara
Papers
1
Total Citations
3
H-Index
1
About
Yosuke Hagiwara is a researcher whose work lies at the intersection of biomedical engineering and advanced materials, with a particular focus on improving the detection and analysis of biological signals. His key research areas include myoelectric signal processing, stochastic resonance, and the development of novel electrode materials. Hagiwara’s major contribution is the pioneering use of stochastic resonance—a phenomenon where noise can actually enhance weak signal detection—combined with flexible carbon nanotube composite paper (CNT-cp) electrodes to create more robust surface electromyogram (EMG) sensors. This innovative approach addresses a critical challenge in prosthetics and human-machine interfaces: reliably capturing muscle signals despite motion artifacts or poor skin contact. His most-cited work, "Robust myoelectric signal detection based on stochastic resonance using multiple-surface-electrode array made of carbon nanotube composite paper" (2016), has garnered 3 citations and laid the groundwork for more resilient biosensing technologies. By integrating nanomaterials with signal processing theory, Hagiwara has opened new pathways for wearable health monitors and next-generation prosthetic control systems.
Research Focus
Key Achievements
Top Papers
- 1